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Structure-informed protein language models are robust predictors for variant effects

Research article (Human Genetics, 2024) · cited 22× · AI/ML
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Structure-informed protein language models are robust predictors for variant effects

Summary

Structure-informed protein language models are robust predictors for variant effects is a scholarly article[1].

Key Facts

  • Structure-informed protein language models are robust predictors for variant effects's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Structure-informed protein language models are robust predictors for variant effects. Retrieved May 24, 2026, from https://4ort.xyz/entity/structure-informed-protein-language-models-are-robust-predictors-for-variant-effects
MLA “Structure-informed protein language models are robust predictors for variant effects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/structure-informed-protein-language-models-are-robust-predictors-for-variant-effects.
BibTeX @misc{4ortxyz_structure-informed-protein-language-models-are-robust-predictors-for-variant-effects_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Structure-informed protein language models are robust predictors for variant effects}}, year = {2026}, url = {https://4ort.xyz/entity/structure-informed-protein-language-models-are-robust-predictors-for-variant-effects}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Structure-informed protein language models are robust predictors for variant effects — https://4ort.xyz/entity/structure-informed-protein-language-models-are-robust-predictors-for-variant-effects (retrieved 2026-05-24)

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